Evidence map›Paper›PMID 42730856›Full record

ArticleBrain imaging and behavior2026

Altered cortical-subcortical structural connectivity underlying symptom dimensions in schizophrenia.

Juanjuan Ren, Rong Zhang, Yunshan Zhou, Xiaoxia Lei, Yewei Wang, Xiaochang Chen, Lirong Fu, Qingyi Li, Chen Zhang

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In one paragraph

Article in Brain imaging and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Juanjuan RenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China.ORCID http://orcid.org/0000-0002-7305-4566
Rong ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China.ORCID http://orcid.org/0009-0005-5463-680X
Yunshan ZhouDepartment of Psychiatry, Huai'an No. 3 People's Hospital, Huai'an, Jiangsu, China.ORCID http://orcid.org/0009-0006-5720-4065
Xiaoxia LeiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China.
Yewei WangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China.
Xiaochang ChenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China.
Lirong FuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China.
Qingyi LiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China.
Chen ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200032, PR China. zhangchen645@163.com.ORCID http://orcid.org/0000-0003-4071-1627

Funding

the National Key Research and Development Program of China 2018YFC1314302the National Natural Science Foundation of China 82271538
6 · The paper itself

Abstract

Schizophrenia is characterized by heterogeneous clinical symptoms, which may arise from disruptions in brain network connectivity. This study aimed to characterize alterations in white matter networks, and to investigate their associations with symptom dimensions in schizophrenia. We conducted probabilistic tractography in 61 schizophrenia and 63 matched healthy controls. Whole-brain structural connectomes were constructed using the Desikan-Killiany atlas, which comprises 82 regions. Network-Based Statistics identified significantly altered subnetworks, followed by graph-theoretical analyses to assess their topological properties. Symptom dimensions were derived from the Positive and Negative Syndrome Scale, and regression analyses were performed to examine associations between network alterations and symptom severity. Individuals with schizophrenia showed weakened connectivity in a subnetwork comprising 13 connections across cortical and subcortical regions (threshold edge t > 3.50, component p < 0.001, familywise error corrected). This subnetwork was primarily characterized as frontal-temporal-insular-cingulate connectivity, with limited hippocampal and thalamic contributions. Within this subnetwork, Connectivity intensity(p < 0.001) and global efficiency(p < 0.001) were significantly lower in schizophrenia relative to healthy controls. Exploratory regression analyses (adjusting for potential confounders) revealed that distinct connections were associated with different affective and cognitive symptom dimensions; global efficiency was associated with negative symptom dimensions (all p < 0.05, uncorrected). The analyses identified reduced structural connectivity of cortical networks with limited hippocampal and thalamic involvement among individuals with schizophrenia relative to healthy controls, and provided preliminary evidence linking this subnetwork to clinical heterogeneity in schizophrenia.

Indexed as

BrainSchizophreniaAdultCerebral CortexConnectomeDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysWhite MatterConnectomicsDiffusion magnetic resonance imagingGraph theory, TractographySchizophreniaStructural connectivity

Identifiers

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.